存储对石油勘探大数据处理集群效率影响分析  

Analyzing for the storage effect to the big data seismic processing cluster efficiency

作　　者：塔依尔.伊布拉音 杨晓海[1] 宋雪峰[1] 王晓[1] 

机构地区：[1]新疆油田公司勘探开发研究院地球物理研究所,乌鲁木齐830013

出　　处：《信息技术》2016年第3期195-198,共4页Information Technology

摘　　要：高密度宽方位外业采集方式导致石油勘探外业采集数据体迅速膨胀,石油勘探迎来大数据时代。原始弹炮上万道的接收方式和上千次的覆盖次数使得地震数据体内部的关联性比以往更复杂,使用传统的地震数据处理方法处理目前的高密度采集数据时,地震数据处理集群系统出现了效率低下的现象。通过分析发现PC集群中存储系统配备方式和地震勘探数据的存储方式是导致集群系统效率不高的原因,并给出了解决该问题的思路和方案。The way of high density wide range field seismic data collection causes the oil exploration data acquisition body rapidly expanded,petroleum exploration is ushered in the age of big data. The original single shot that using ten thousands receiving mode and thousand times covering mode made the relevance of the seismic data more complex than ever. When processing the high density acquisition data by conventional seismic data processing method the seismic data processing system efficiency is low.Through the analysis the storage system of the PC clusters and the storage mode of the seismic data are the cause of inefficient cluster system. The idea and scheme to solve the problem was given out in the paper.

关 键 词：大数据 IOPS 并行存储 PC集群 

分 类 号：TP333[自动化与计算机技术—计算机系统结构]